| A learning-based approach to direction of arrival estimation in noisy and reverberant environments X Xiao, S Zhao, X Zhong, DL Jones, ES Chng, H Li 2015 IEEE international conference on acoustics, speech and signal …, 2015 | 323 | 2015 |
| Regularized orthogonal least squares algorithm for constructing radial basis function networks S Chen, ES Chng, K Alkadhimi International journal of control 64 (5), 829-837, 1996 | 312 | 1996 |
| Gradient radial basis function networks for nonlinear and nonstationary time series prediction ES Chng, S Chen, B Mulgrew IEEE transactions on neural networks 7 (1), 190-194, 1996 | 238 | 1996 |
| Vulnerability of speaker verification systems against voice conversion spoofing attacks: The case of telephone speech T Kinnunen, ZZ Wu, KA Lee, F Sedlak, ES Chng, H Li 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 229 | 2012 |
| Detecting converted speech and natural speech for anti-spoofing attack in speaker recognition Z Wu, ES Chng, H Li 13th Annual Conference of the International Speech Communication Association …, 2012 | 218 | 2012 |
| A study on replay attack and anti-spoofing for text-dependent speaker verification Z Wu, S Gao, ES Cling, H Li Signal and Information Processing Association Annual Summit and Conference …, 2014 | 203 | 2014 |
| Exemplar-based sparse representation with residual compensation for voice conversion Z Wu, T Virtanen, ES Chng, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (10 …, 2014 | 198 | 2014 |
| A first speech recognition system for Mandarin-English code-switch conversational speech NT Vu, DC Lyu, J Weiner, D Telaar, T Schlippe, F Blaicher, ES Chng, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 184 | 2012 |
| Spoofing speech detection using high dimensional magnitude and phase features: the NTU approach for ASVspoof 2015 challenge. X Xiao, X Tian, S Du, H Xu, E Chng, H Li Interspeech, 2052-2056, 2015 | 163 | 2015 |
| Unsupervised domain adaptation via domain adversarial training for speaker recognition Q Wang, W Rao, S Sun, L Xie, ES Chng, H Li 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 162 | 2018 |
| Spex: Multi-scale time domain speaker extraction network C Xu, W Rao, ES Chng, H Li IEEE/ACM transactions on audio, speech, and language processing 28, 1370-1384, 2020 | 157 | 2020 |
| Synthetic speech detection using temporal modulation feature Z Wu, X Xiao, ES Chng, H Li 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 149 | 2013 |
| A study on spoofing attack in state-of-the-art speaker verification: the telephone speech case Z Wu, T Kinnunen, ES Chng, H Li, E Ambikairajah Proceedings of The 2012 Asia Pacific Signal and Information Processing …, 2012 | 133 | 2012 |
| Sports highlight detection from keyword sequences using HMM J Wang, C Xu, E Chng, Q Tian 2004 IEEE International Conference on Multimedia and Expo (ICME)(IEEE Cat …, 2004 | 132 | 2004 |
| SEAME: a Mandarin-English code-switching speech corpus in south-east asia. DC Lyu, TP Tan, E Chng, H Li Interspeech 10, 1986-1989, 2010 | 127 | 2010 |
| Modelling public sentiment in Twitter: using linguistic patterns to enhance supervised learning P Chikersal, S Poria, E Cambria, A Gelbukh, CE Siong Computational Linguistics and Intelligent Text Processing: 16th …, 2015 | 126 | 2015 |
| Image feature representation of the subband power distribution for robust sound event classification J Dennis, HD Tran, ES Chng IEEE Transactions on Audio, Speech, and Language Processing 21 (2), 367-377, 2012 | 112 | 2012 |
| On time-frequency mask estimation for MVDR beamforming with application in robust speech recognition X Xiao, S Zhao, DL Jones, ES Chng, H Li 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 105 | 2017 |
| Speech emotion recognition with co-attention based multi-level acoustic information H Zou, Y Si, C Chen, D Rajan, ES Chng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 103 | 2022 |
| Integrating acoustic, prosodic and phonotactic features for spoken language identification R Tong, B Ma, D Zhu, H Li, ES Chng 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 103 | 2006 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, Singapore在 u.nus.edu 的电子邮件经过验证
